Prediction formulas for fitting different indicators. by Yi Wang (32470)

Subjects: “…diffusion coefficients increased…”

FTIR test results of asphalt. by Yi Wang (32470)

Subjects: “…diffusion coefficients increased…”

MSD simulation results in asphalt fractions. by Yi Wang (32470)

Subjects: “…diffusion coefficients increased…”

Simulation of asphalt density. by Yi Wang (32470)

Subjects: “…diffusion coefficients increased…”

Basic properties of asphalt at different aging times. by Yi Wang (32470)

Subjects: “…diffusion coefficients increased…”

Basic performance results of aged asphalt regenerated from WEO. by Yi Wang (32470)

Subjects: “…diffusion coefficients increased…”

Performance index of 70# MA. by Yi Wang (32470)

Subjects: “…diffusion coefficients increased…”

Original data. by Yi Wang (32470)

Subjects: “…diffusion coefficients increased…”

Microscopic morphology of different asphalts (200 × , 1000 × , and 1500×). by Yi Wang (32470)

Subjects: “…diffusion coefficients increased…”

Image 1_Long-term adoption of plow tillage and green manure improves soil physicochemical properties and optimizes microbial communities under a continuous peanut monoculture syste... by Yunfeng Yao (7136525)

“…Moreover, PTGM significantly increased available potassium (AK), available phosphorus (AP), total nitrogen (TN), and soil organic matter (SOM). …”

Minimal data set. by Xiaoxia Liu (294088)

“…In contrast, with a negative Soret coefficient, the growth rate of the spherical crystals increases as the coefficient decreases, and the solute concentration near the interface decreases. …”

Receiver operating characteristic curve analyses for the prediction of hepatitis C. by Lu Han (151620)

Subjects:

Exploring the correlation between systemic inflammation biomarkers and HCV infection (logarithm base 2). by Lu Han (151620)

Subjects:

Threshold effect analysis of systemic inflammatory biomarkers on hepatitis C using two-piece wise linear regression. by Lu Han (151620)

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Exclusion and enrollment summary from NHANES. by Lu Han (151620)

Subjects:

Demographic information and baseline population characteristics. by Lu Han (151620)

Subjects:

Stratified associations between systemic inflammation biomarkers and hepatitis C (OR 95%, <i>P</i> value, LOG base 2). by Lu Han (151620)

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General addictive models demonstrate the relationship between systemic inflammatory biomarkers and anti-HCV. by Lu Han (151620)

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Comparison of systemic inflammation biomarkers in infected and uninfected populations. by Lu Han (151620)

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Bar charts showing the numbers of significantly differentially expressed genes for the different contrasts. by Gillian P. McHugo (8965919)

“…</sub> ≤ 0.05) with increased and decreased expression, respectively. The position on the horizontal indicates the number of days post-infection (dpi) and the colour of the bars represents the tissue. …”